SAS
SAS Model Studio: visual machine learning and AI-assisted modeling
Last updated Sep 12, 2026
What is SAS?
SAS's Top Features
Key capabilities that make SAS stand out.
Browser-based visual model development
Data preparation and feature engineering
AutoML model tuning and selection
Predictive model comparison and deployment
Python, R and SAS customization
SAS Viya Copilot conversational assistance
Model interpretability reports
Use Cases
Who benefits most from this tool.
Data Scientists
Data scientists can use SAS Visual Data Mining and Machine Learning to build and fine-tune predictive models efficiently.
Business Analysts
Business analysts can leverage the intuitive visual interface to transform raw data into actionable business insights.
Enterprise IT Departments
IT departments can manage large datasets and automate complex procedures, improving overall organizational efficiency.
Retail Industry Professionals
Retail professionals can use the software to analyze customer behavior and optimize inventory management.
Banking Sector Analysts
Banking analysts can enhance fraud detection and risk management using advanced predictive modeling.
Healthcare Providers
Healthcare providers can apply the software to predict patient outcomes and improve clinical decision-making.
Insurance Companies
Insurance companies can utilize predictive models to assess risk and streamline claims processing.
Government Agencies
Public sector agencies can analyze large volumes of data to improve service delivery and policy making.
Marketing Teams
Marketing teams can optimize campaigns by understanding customer preferences and behavior through data analysis.
Educational Institutions
Educational institutions can employ data analytics to enhance student performance and institutional efficiency.
Tags
SAS's Pricing
SAS provides a Viya trial and an expert consultation route. Confirm production pricing, included components and trial eligibility with SAS.
Watch-outs
- Trial access does not establish a free ongoing production plan.
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